Resources


Database Credentialed Access

VinDr-CXR: An open dataset of chest X-rays with radiologist annotations

Ha Quy Nguyen, Hieu Huy Pham, le tuan linh, et al.

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

lesion detection chest x-ray interpretation disease classification computer vision deep learning

Published: June 22, 2021. Version: 1.0.0

Database Open Access

A Pressure Map Dataset for In-bed Posture Classification

Pressure sensor data captured from 13 participants in various sleeping postures.

pressure sleep posture gait

Published: Sept. 28, 2017. Version: 1.0.0

Database Open Access

EEG Motor Movement/Imagery Dataset

Gerwin Schalk

EEG recordings obtained from 109 volunteers.

eeg neuroelectric movement

Published: Sept. 9, 2009. Version: 1.0.0

Visualize waveforms

Database Contributor Review

Medical Information Mart for Intensive Care Brazil (MIMIC-BR): a Brazilian Dataset of Anonymized Hospital and ICU Clinical Data

Gabriela Steil, Adhara Brandão Lima Vanhoz, Mateus de Lima Freitas, et al.

Medical Information Mart for Intensive Care Brazil (MIMIC-BR) is a Brazilian dataset of hospital and ICU adult patients anonymized data. It includes 31,789 admissions to the Einstein Hospital Israelita during a period of 3 years in the last 10 years

critical care dataset artificial intelligence intensive care unit machine learning tertiary heatlhcare data anonymization inpatients

Published: May 21, 2026. Version: 1.0.0

Database Open Access

A Multi-Night Instantaneous Heart Rate and Accelerometry Dataset with EEG Sleep Stage Labels

Tzu-An Song

This dataset contains multi-night recordings of instantaneous heart rate (IHR) and 3-axis accelerometry from the Apple Watch, paired with EEG-based sleep stage labels from the Dreem 2 headband.

accelerometry sleep staging wearable devices apple watch instantaneous heart rate

Published: May 12, 2026. Version: 1.0.0

Database Credentialed Access

Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information

Yael Bensoussan, Alexandros Sigaras, Anais Rameau, et al.

A dataset of features from voice recordings and metadata to enable the development, benchmarking, and validation of clinically applicable machine-learning models for diagnosing a wide range of health conditions.

health biomarkers bridge2ai voice

Published: May 1, 2026. Version: 3.1.0

Database Open Access

Multimodal Synchronized Motion Capture, Force Plate, and Radar Dataset of the One-Legged Stand Test for Fall-Risk Assessment

Daniel Copeland, Evan Linton, Xiang Zhang, et al.

A multimodal dataset of 32 participants performing the One-Legged Stand Test (OLST), with synchronized motion capture, force plate, and 24 GHz radar data. Each of 1,241 trials is labeled with foot-lift, stability phases, and foot-touchdown.

motion capture human pose estimation human movement fall risk assessment non-contact sensing one-legged stand test force plate analysis digital biomarkers human balance testing geriatrics radar signal processing postural control multimodal sensing aging and mobility biomechanics

Published: Jan. 25, 2026. Version: 1.0

Database Open Access

bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset

Boyla Mainsah, Chance Fleeting, Thomas Balmat, et al.

A collection of data from P300-based brain-computer interface studies.

brain-computer interface ieee p2731 working group standard amyotrophic lateral sclerosis p300 speller p300 event related potential oddball paradigm error-related potential electroencephalography

Published: May 19, 2025. Version: 1.0.0

Database Open Access

CheXmask Database: a large-scale dataset of anatomical segmentation masks for chest x-ray images

Nicolas Gaggion, Candelaria Mosquera, Martina Aineseder, et al.

CheXmask Database is a 657,566 uniformly annotated chest radiographs with segmentation masks. Images were segmented using HybridGNet, with automatic quality control indicated by RCA scores.

automatic quality assesment chest x-ray segmentation medical image segmentation

Published: Jan. 22, 2025. Version: 1.0.0

Database Restricted Access

Endoscapes2023, A Critical View of Safety and Surgical Scene Segmentation Dataset for Laparoscopic Cholecystectomy

Pietro Mascagni, Deepak Alapatt, Aditya Murali, et al.

Endoscapes2023 enables the development of models for object detection, semantic and instance segmentation, and Critical View of Safety (CVS) prediction, contributing to safe laparoscopic cholecystectomy.

surgical safety computer assisted interventions semantic segmentation surgical data science medical imaging analysis

Published: Dec. 11, 2024. Version: 1.0.0